Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
named-entity-recognition
sequence-tagger-model
Instructions to use Babelscape/wikineural-multilingual-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Babelscape/wikineural-multilingual-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Babelscape/wikineural-multilingual-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Babelscape/wikineural-multilingual-ner") model = AutoModelForTokenClassification.from_pretrained("Babelscape/wikineural-multilingual-ner", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download vocab.txt from Babelscape/wikineural-multilingual-ner: direct link, hf CLI and curl.
- Browser
- Download file 996 kB
-
https://huggingface.co/Babelscape/wikineural-multilingual-ner/resolve/main/vocab.txt
- Command line
-
hf download hf://Babelscape/wikineural-multilingual-ner/vocab.txt
-
curl -L -o vocab.txt https://huggingface.co/Babelscape/wikineural-multilingual-ner/resolve/main/vocab.txt
996 kB
File too large to display, you can check the raw version instead.